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Er implanted Si is a candidate for quantum and photonic applications; however, several different Er centres are generated, and their symmetry, energy level structure, magnetic and optical properties, and mutual interactions have been poorly understood, which has been a major barrier to the development of these applications. Optically modulated magnetic resonance (OMMR) gives a spectrum of the modulation of an electron paramagnetic resonance (EPR) signal by a tuneable optical field. Our OMMR spectrum of Er implanted Si agrees with three independent measurements, showing that we have made the first measurement of the crystal field splitting of the I manifold of Er implanted Si, and allows us to revise the crystal field splitting of the I manifold. This splitting originates from a photoluminescence (PL) active O coordinated Er centre with orthorhombic C symmetry, which neighbours an EPR active O coordinated Er centre with monoclinic C symmetry. This pair of centres could form the basis of a controlled NOT (CNOT) gate.
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http://dx.doi.org/10.1038/s41598-019-55246-z | DOI Listing |
Cereb Cortex
August 2025
Section of Brain Function Information, National Institute for Physiological Sciences, 38 Nishigonaka, Myodaiji, Okazaki, Aichi 444-8585, Japan.
This study aimed to identify brain activity modulations associated with different types of visual tracking using advanced functional magnetic resonance imaging techniques developed by the Human Connectome Project (HCP) consortium. Magnetic resonance imaging data were collected from 27 healthy volunteers using a 3-T scanner. During a single run, participants either fixated on a stationary visual target (fixation block) or tracked a smoothly moving or jumping target (smooth or saccadic tracking blocks), alternating across blocks.
View Article and Find Full Text PDFGraefes Arch Clin Exp Ophthalmol
September 2025
Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College Hospital, No. 1 Shuaifuyuan Wangfujing Dongcheng District, China, 100730, Beijing.
Purpose: To evaluate the predictive value of the preoperative orientation and offset of angle alpha(chord alpha) and angle kappa(chord mu) for visual outcomes in patients who underwent trifocal intraocular lens (IOL) implantation.
Methods: Patient records of eyes that underwent AT LISA tri 839MP implantation were retrospectively collected and grouped according to the preoperative offset and orientations of chord alpha and chord mu. The two-dimensional location of each angle was described by the interaction of the orientation and offset.
Inorg Chem
September 2025
Synthesis and Characterization of Innovative Materials, TUM School of Natural Sciences, Department of Chemistry, Technical University of Munich, Lichtenbergstraße 4, Garching b. München 85748, Germany.
Semiconductors with one-dimensional (1D) substructures are promising for next-generation optical and electronic devices due to their directional transport and flexibility. Representatives of this class include HgPbP-type materials. This study investigates the related semiconductors AgGeP and AgSnP.
View Article and Find Full Text PDFSmall
September 2025
Institute of Thin Film Physics and Applications, Shenzhen Key Laboratory of Advanced Thin Films and Applications, Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, State Key Laboratory of Radio Frequency Heterogeneous Integration, College of Physic
Antimony selenide (SbSe), a narrow-bandgap semiconductor with strong light absorption, exhibits photoresponse up to ≈1050 nm due to its intrinsic 1.15 eV bandgap. To extend detection into the near-infrared (NIR, 700-1350 nm), Bi-alloyed (BiSb)Se is developed via vacuum sputtering and postselenization.
View Article and Find Full Text PDFAdv Mater
September 2025
Key Laboratory of Brain-Like Neuromorphic Devices and Systems of Hebei Province, College of Electronic and Information Engineering, Hebei University, Baoding, 071002, China.
Neuromorphic Visual Devices hold considerable promise for integration into neuromorphic vision systems that combine sensing, memory, and computing. This potential arises from their synergistic benefits in optical signal detection and neuro-inspired computational processes. However, current devices face challenges such as insufficient light/dark resistance ratios, mismatched transient photo-response, and volatile retention characteristics, limiting their adaptability to complex artificial vision systems.
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